{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 社交媒体舆论场虚假账号检测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据加载和预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据加载\n",
    "\n",
    "- `created_at`: 账号创建时间\n",
    "- `user`: 包含有关用户的各种信息（例如，id、name等）的字典\n",
    "- `label`: 表示账号类型的标签，可以是 \"human\"（真实用户）或 \"bot\"（虚假账号）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>user</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-01-20 03:36:01+00:00</td>\n",
       "      <td>{'id': 1318284638, 'id_str': '1318284638', 'na...</td>\n",
       "      <td>bot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-01-21 21:36:00+00:00</td>\n",
       "      <td>{'id': 17442457, 'id_str': '17442457', 'name':...</td>\n",
       "      <td>bot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-10-11 13:40:17+00:00</td>\n",
       "      <td>{'id': 102069605, 'id_str': '102069605', 'name...</td>\n",
       "      <td>bot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-01-21 18:42:38+00:00</td>\n",
       "      <td>{'id': 1367759732, 'id_str': '1367759732', 'na...</td>\n",
       "      <td>bot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-11-13 04:09:04+00:00</td>\n",
       "      <td>{'id': 2927879268, 'id_str': '2927879268', 'na...</td>\n",
       "      <td>bot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 created_at  \\\n",
       "0 2019-01-20 03:36:01+00:00   \n",
       "1 2019-01-21 21:36:00+00:00   \n",
       "2 2016-10-11 13:40:17+00:00   \n",
       "3 2019-01-21 18:42:38+00:00   \n",
       "4 2018-11-13 04:09:04+00:00   \n",
       "\n",
       "                                                user label  \n",
       "0  {'id': 1318284638, 'id_str': '1318284638', 'na...   bot  \n",
       "1  {'id': 17442457, 'id_str': '17442457', 'name':...   bot  \n",
       "2  {'id': 102069605, 'id_str': '102069605', 'name...   bot  \n",
       "3  {'id': 1367759732, 'id_str': '1367759732', 'na...   bot  \n",
       "4  {'id': 2927879268, 'id_str': '2927879268', 'na...   bot  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# load dataset\n",
    "train_path = 'Input/raw/train.json'\n",
    "dev_path = 'Input/raw/dev.json'\n",
    "test_path = 'Input/raw/test.json'\n",
    "\n",
    "train_df = pd.read_json(train_path)\n",
    "dev_df = pd.read_json(dev_path)\n",
    "test_df = pd.read_json(test_path)\n",
    "\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import f1_score, classification_report, confusion_matrix\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "df = pd.concat([train_df, dev_df], ignore_index=True)\n",
    "# 展开user字段\n",
    "user_df = df['user'].apply(pd.Series)\n",
    "\n",
    "# 将created_at转换为datetime对象，并提取年份和月份作为特征\n",
    "df['created_at'] = pd.to_datetime(df['created_at'])\n",
    "df['created_year'] = df['created_at'].dt.year\n",
    "df['created_month'] = df['created_at'].dt.month\n",
    "\n",
    "# 合并展开后的user字段和原始数据\n",
    "df = pd.concat([df, user_df], axis=1)\n",
    "\n",
    "# 删除不需要的字段\n",
    "df.drop(['created_at', 'user'], axis=1, inplace=True)\n",
    "\n",
    "# 对分类变量进行编码\n",
    "label_encoder = LabelEncoder()\n",
    "for col in df.select_dtypes(include=['object']).columns:\n",
    "    if col != 'label':\n",
    "        df[col] = label_encoder.fit_transform(df[col].astype(str))\n",
    "\n",
    "# 特征选择：使用Random Forest进行特征选择\n",
    "X = df.drop('label', axis=1)\n",
    "y = df['label']\n",
    "\n",
    "clf = RandomForestClassifier(n_estimators=50, random_state=42)\n",
    "clf.fit(X, y)\n",
    "feature_importances = clf.feature_importances_\n",
    "\n",
    "# 特征重要性可视化\n",
    "feature_names = X.columns\n",
    "sorted_idx = feature_importances.argsort()\n",
    "\n",
    "plt.figure(figsize=(10, 12))\n",
    "plt.barh(range(X.shape[1]), feature_importances[sorted_idx], align='center')\n",
    "plt.yticks(range(X.shape[1]), feature_names[sorted_idx])\n",
    "plt.xlabel('Feature Importance')\n",
    "plt.title('Feature Importance from Random Forest')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 特征工程\n",
    "\n",
    "- 选择与目标（即账号类型）最相关的特征。\n",
    "- 考虑创建一些新的特征，例如从时间戳中提取信息。\n",
    "- 对分类变量进行编码。\n",
    "- 对数值特征进行缩放。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型构建与优化\n",
    "\n",
    "1. 随机森林（Random Forest）\n",
    "2. 支持向量机（Support Vector Machine, SVM）\n",
    "3. 梯度提升机（Gradient Boosting Machine, GBM）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# X = X[feature_names[sorted_idx][:20]]\n",
    "# 特征缩放\n",
    "scaler = StandardScaler()\n",
    "X = scaler.fit_transform(X)\n",
    "X_train, X_dev, y_train, y_dev = train_test_split(X, y, test_size=0.2, random_state=42)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7878286699902733"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier, VotingClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.metrics import f1_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "\n",
    "# Initialize the individual models\n",
    "rf_clf = RandomForestClassifier(n_estimators=100, random_state=42)\n",
    "svm_clf = SVC(probability=True, random_state=42)\n",
    "gbm_clf = GradientBoostingClassifier(n_estimators=100, random_state=42)\n",
    "\n",
    "# Create an ensemble of the models using a majority class voting strategy\n",
    "ensemble_clf = VotingClassifier(estimators=[('rf', rf_clf), ('svm', svm_clf), ('gbm', gbm_clf)], voting='soft')\n",
    "\n",
    "# Fit the ensemble model on the training data\n",
    "ensemble_clf.fit(X_train, y_train)\n",
    "\n",
    "# Predict the labels of the dev set\n",
    "dev_preds = ensemble_clf.predict(X_dev)\n",
    "\n",
    "# Calculate the F1 score\n",
    "f1 = f1_score(y_dev, dev_preds, average='weighted')\n",
    "\n",
    "f1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.7486338797814208"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用Gradient Boosting模型的默认参数进行预测\n",
    "gb_clf_default = GradientBoostingClassifier(random_state=42)\n",
    "gb_clf_default.fit(X_train, y_train)\n",
    "y_pred_gb_default = gb_clf_default.predict(X_dev)\n",
    "\n",
    "# 计算F1分数\n",
    "f1_gb_default = f1_score(y_dev, y_pred_gb_default, pos_label='bot', average='binary')\n",
    "\n",
    "# 绘制混淆矩阵\n",
    "conf_matrix = confusion_matrix(y_dev, y_pred_gb_default, labels=['bot', 'human'])\n",
    "sns.heatmap(conf_matrix, annot=True, fmt=\"d\", cmap=\"Blues\", xticklabels=['bot', 'human'], yticklabels=['bot', 'human'])\n",
    "plt.ylabel('Actual')\n",
    "plt.xlabel('Predicted')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "f1_gb_default\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型验证与调优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结论\n",
    "\n",
    "1. 通过特征工程，我们选择了与账号类型（人类或机器人）最相关的特征。\n",
    "2. 使用了随机森林、支持向量机和梯度提升机这三种模型，并将它们集成在一起。\n",
    "3. 在开发数据集上，模型达到了约`0.7878`的加权F1分数。\n",
    "4. 从特征重要性的角度来看，`followers_count`、`friends_count`和`statuses_count`等特征较为重要。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 未来工作\n",
    "\n",
    "1. 特征工程：可以进一步探索和创建更多与目标相关的特征。\n",
    "    1. 文本特征\n",
    "    2. 时间特征\n",
    "2. 模型调优：由于时间限制，没有进行模型参数的详细调优。可以通过网格搜索或随机搜索来进行。\n",
    "3. 模型和集成方法：除了目前使用的模型外，还可以尝试其他高级模型和集成方法。\n",
    "4. 解释性和可解释性：可以进一步使用如SHAP、LIME等工具来解释模型预测。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
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  "orig_nbformat": 4
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